A Proximal Policy Optimization Reinforcement Learning Approach to Unmanned Aerial Vehicles Attitude Control Cover

A Proximal Policy Optimization Reinforcement Learning Approach to Unmanned Aerial Vehicles Attitude Control

Land Forces Academy Review

Volume 27 (2022): Issue 4 (December 2022)

By:

Răzvan-Ionuț Bălaşa, Marian Ciprian Bîlu and Cătălin Iordache

Open Access

|Jan 2023

Authors

Răzvan-Ionuț Bălaşa

balasa.razvan@incas.ro

National Institute for Aerospace Research “Elie-Carafoli”, Bucharest, Romania

Marian Ciprian Bîlu

bilu.ciprian@incas.ro

National Institute for Aerospace Research “Elie-Carafoli”, Bucharest, Romania

Cătălin Iordache

iordache.catalin@incas.ro

National Institute for Aerospace Research “Elie-Carafoli”, Bucharest, Romania

DOI: https://doi.org/10.2478/raft-2022-0049 | Journal eISSN: 3100-5071 | Journal ISSN: 3100-5063

Journal RSS Feed

Language: English

Page range: 400 - 410

Published on: Jan 11, 2023

Published by: Nicolae Balcescu Land Forces Academy

In partnership with: Paradigm Publishing Services

Publication frequency: 4 times per year

Keywords:

proximal policy optimization,

reinforcement learning,

unmanned aerial vehicles

Related subjects:

Business and economics,

Business management,

Business management, other,

Electrical engineering,

Fundamentals of electrical engineering,

Social sciences,

Political science,

Political science, other,

Education, other

© 2023 Răzvan-Ionuț Bălaşa, Marian Ciprian Bîlu, Cătălin Iordache, published by Nicolae Balcescu Land Forces Academy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Previous article Volume 27 (2022): Issue 4 (December 2022)Next article